Weakening the language bias in LINUS
Nada Lavrač, Sašo Džeroski · Journal of Experimental & Theoretical Artificial Intelligence · 1994
The two main limitations of propositional inductive learning algorithms are the limited capability of taking into account available background knowledge and the limited expressiveness of the knowledge representation formalism used for describing examples, background knowledge and concepts. The paper presents a method for using background knowledge effectively in learning both propositional and relational descriptions. The method, implemented in the system LINUS, uses propositional learners in a more expressive logic programming framework. This allows for learning of logic programs in the form of constrained deductive hierarchical database clauses and determinate deductive database clauses.